I think Stanford is really focusing on serving tough this year. When the serve is in, that leads to a lot of weak passes by the opponents, getting them out of system even when it's not an ace. But it also leads to more service errors.
Women's Volleyball
(This post was last modified: 09-14-2018, 09:22 PM by CompSci87.)
I think Stanford is really focusing on serving tough this year. When the serve is in, that leads to a lot of weak passes by the opponents, getting them out of system even when it's not an ace. But it also leads to more service errors.
09-15-2018, 05:28 AM
(09-14-2018, 09:10 PM)Lorcan Wrote: The service errors were a of immense proportions concern against Texas with 17 errors compared to just 4 aces.
(Stats show 16 errors, not 17, for Stanford.) I'm sure you realize Texas had 17 errors compared to just 0 aces, so Stanford won the service game. The service errors were a big concern -- for Texas. Of course, Stanford would also rather have had more aces and fewer errors.
For the 5 matches against top 10 teams, Stanford has 26 aces (SA) and 55 service errors (SE). Their opponents have 15 aces and 49 service errors.
To put it another way, if you just looked at the serves that were either aces or errors, Stanford's opponents' side-out percentage(SO%) would be 67.9% while Stanford's would be 76.6%. That advantage doesn't even count any advantage (as CompSci87 pointed out) they may have by serving tougher.
[If you remove the Texas games, Stanford would have 13 SA and 32 SE while the opponents would have 11 SA and 18 SE. (Counting only SA &SE, that's 62 SO% for Stanford, 71 SO% for the opponents)]
Unfortunately the NCAA stats don't show side-out percentage. I'd be interested in how the 68% compares to the opponents' overall side-out percentage.
While I'm not that familiar with VB, it seems an increase in toughness of serves is paid for by an increase in the SE/SA ratio, but it results in a reduction of your opponent's SO% for any serve that isn't an ace or error. It seems to me you'd like to adjust the toughness of your serves so that the opponent's SO% on your team's SA+SE should be the same (or marginally higher) than their overall SO%.
Consider the Minnesota game. You probably think Minnesota served pretty well at 5 SA and 3 SE, but if they'd served tougher, giving up more SE to gain some more SA, say, 12 SA and 16 SE, and to reduce Stanford's SO%, they may have done better overall.
[Of course each rotation will have different statistics, so doing stats across all rotations is a bit simplistic, but the concept seems right.]
(09-14-2018, 09:10 PM)Lorcan Wrote: The service errors were a of immense proportions concern against Texas with 17 errors compared to just 4 aces.
(Stats show 16 errors, not 17, for Stanford.) I'm sure you realize Texas had 17 errors compared to just 0 aces, so Stanford won the service game. The service errors were a big concern -- for Texas. Of course, Stanford would also rather have had more aces and fewer errors.
For the 5 matches against top 10 teams, Stanford has 26 aces (SA) and 55 service errors (SE). Their opponents have 15 aces and 49 service errors.
To put it another way, if you just looked at the serves that were either aces or errors, Stanford's opponents' side-out percentage(SO%) would be 67.9% while Stanford's would be 76.6%. That advantage doesn't even count any advantage (as CompSci87 pointed out) they may have by serving tougher.
[If you remove the Texas games, Stanford would have 13 SA and 32 SE while the opponents would have 11 SA and 18 SE. (Counting only SA &SE, that's 62 SO% for Stanford, 71 SO% for the opponents)]
Unfortunately the NCAA stats don't show side-out percentage. I'd be interested in how the 68% compares to the opponents' overall side-out percentage.
While I'm not that familiar with VB, it seems an increase in toughness of serves is paid for by an increase in the SE/SA ratio, but it results in a reduction of your opponent's SO% for any serve that isn't an ace or error. It seems to me you'd like to adjust the toughness of your serves so that the opponent's SO% on your team's SA+SE should be the same (or marginally higher) than their overall SO%.
Consider the Minnesota game. You probably think Minnesota served pretty well at 5 SA and 3 SE, but if they'd served tougher, giving up more SE to gain some more SA, say, 12 SA and 16 SE, and to reduce Stanford's SO%, they may have done better overall.
[Of course each rotation will have different statistics, so doing stats across all rotations is a bit simplistic, but the concept seems right.]
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